Free Adobe AD0-E602 Practice Exam with Questions & Answers

Two attributes that could be used to understand high-value prospects are household income and credit score. Household income indicates the financial capacity and spending power of aprospect, which could affect their interest in credit cards with crypto currency bonus offers. Credit score indicates the creditworthiness and risk level of a prospect, which could affect their eligibility and approval for credit cards with crypto currency bonus offers.

According to the Adobe documentation3, batch ingestion is the type of ingestion that supports automatic authentication. Batch ingestion enables data to be ingested periodically from sources such as databases, cloud storage, or CRM systems. Batch ingestion also supports authentication methods such as OAuth 2.0, API key, or username and password. References: 3 https://experienceleague.adobe.com/docs/experience-platform/ingestion/home.html?lang=en#batch-ingestion

An example of a profile namespace is email. A profile namespace is a type or source of identity value that is used to identify a customer across different data sources. Email is a predefined profile namespace that represents the email address of a customer. Other examples of profile namespaces are Phone Number, ECID, or CRM ID

According to the Adobe documentation, streaming profile export is a type of destination that allows sending raw events or attributes associated with profiles in real-time to an external system or service. This type of destination does not require creating or activating segments, and can use any identity namespace as the target identity. Reference:https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/profile-export.html?lang=en

According to the Adobe documentation, primary identity is an identity that must be set in a schema in order to use it in Real-Time Customer Profile. Primary identity is an identity that uniquely identifies each profile within a dataset and across datasets within a tenant. Primary identity can be either predefined or custom, but it must have cardinality of one-to-one or many-to-one. References:https://experienceleague.adobe.com/docs/experience-platform/profile/identity-service/schema.html?lang=en#primary-identity

Two steps that the retailer should take to analyze their shoe segment in this way using RTCDP are to divide the size of each age group segment into the total sum of athletic shoe purchaser events to get percentage splits for analysis and to create multiple segments which AND each age group attribute with athletic shoe purchaser events. The first step allows the retailer to calculate the proportion of each age group among the shoe buyers, while the second step allows the retailer to create segments that include only the shoe buyers who belong to a specific age group.

According to the Adobe documentation, segment job is a feature that allows running an on-demand evaluation of segments using batch datasets and getting an updated segment count within minutes. Segment job can be used to achieve this task by selecting the segment and clicking on “Run segment job” from the action bar. Reference:https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/segment-job.html?lang=en

According to the Adobe documentation, C4 is a type of contract label that indicates data that cannot be used for off-site targeting purposes, such as email targeting destination. To resolve the policy violation, the practitioner can either modify the segment attribute or merge policy to exclude the C4 data field from the segment definition, or remove the segment from the destination altogether. Reference:https://experienceleague.adobe.com/docs/experience-platform/data-governance/dule/dule-overview.html?lang=en#contract-labels

According to the Adobe documentation1, TTL (time-to-live) is a setting that determines how long data is retained in a dataset before it is deleted. If the dataset had a 30-day TTL set, then any data that was older than 30 days would be removed from the dataset, which could explain the decrease in segment size over time. References: 1 https://experienceleague.adobe.com/docs/experience-platform/ingestion/home.html?lang=en#time-to-live

According to the Adobe documentation, suppression is a use-case that involves creating segments of existing customers who have already purchased a product or service and excluding them from paid campaigns that are aimed at acquiring new customers. This use-case could help the retailer meet their business goal of increasing ROAS by reducing wasted ad spend on existing customers and focusing on potential customers who have not bought yet. Reference:https://experienceleague.adobe.com/docs/experience-platform/segmentation/use-cases/suppression.html?lang=en